An efficient approach for slant correction of handwritten Korean strings based on structural properties

Authors:
Daekeun You;Gyeonghwan Kim
Affiliations:
Department of Electronic Engineering, Sogang University, 1 Sinsoo-dong Mapo, Seoul 121-742, South Korea;Department of Electronic Engineering, Sogang University, 1 Sinsoo-dong Mapo, Seoul 121-742, South Korea
Venue:
Pattern Recognition Letters
Year:
2003

Citing 5
Cited 0

Off-Line Cursive Script Word Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Lexicon Driven Approach to Handwritten Word Recognition for Real-Time Applications

IEEE Transactions on Pattern Analysis and Machine Intelligence
An Off-Line Cursive Handwriting Recognition System

IEEE Transactions on Pattern Analysis and Machine Intelligence
A fast parallel algorithm for thinning digital patterns

Communications of the ACM
Pattern Classification (2nd Edition)

Pattern Classification (2nd Edition)

Quantified Score

Hi-index	0.10

Visualization

Abstract

An efficient slant correction method, which effectively reflects structural properties of oriental (Korean) characters, is presented in this paper. The method aims to deal with typical problems which have been frequently observed in slant correction of handwritten Korean strings with conventional approaches developed for English/European languages. Directional strokes are extracted from a line of text image, and statistical distribution of the strokes is analyzed using K- means clustering. Gaussian modeling is applied to each of the stroke clusters and the slant angle is estimated from the one which represents the vertical strokes. Experimental results, including comparison with other conventional methods, support the effectiveness of the proposed method.